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Deep Spectral Methods for Unsupervised Ultrasound Image Interpretation
Oleksandra Tmenova, Yordanka Velikova, Mahdi Saleh +1
Ultrasound imaging is challenging to interpret due to non-uniform intensities, low contrast, and inherent artifacts, necessitating extensive training for non-specialists. Advanced…
Diffusion as Sound Propagation: Physics-inspired Model for Ultrasound Image Generation
Marina Domínguez, Yordanka Velikova, Nassir Navab +1
Deep learning (DL) methods typically require large datasets to effectively learn data distributions. However, in the medical field, data is often limited in quantity, and acquiring…
Shape Completion in the Dark: Completing Vertebrae Morphology from 3D Ultrasound
Miruna-Alexandra Gafencu, Yordanka Velikova, Mahdi Saleh +4
Purpose: Ultrasound (US) imaging, while advantageous for its radiation-free nature, is challenging to interpret due to only partially visible organs and a lack of complete 3D infor…
CathFlow: Self-Supervised Segmentation of Catheters in Interventional Ultrasound Using Optical Flow and Transformers
Alex Ranne, Liming Kuang, Yordanka Velikova +2
In minimally invasive endovascular procedures, contrast-enhanced angiography remains the most robust imaging technique. However, it is at the expense of the patient and clinician's…